Application of Magnetic Resonance Elastography in the Evaluation of Common Intracranial Tumor Stiffness

LIN Jingyi; ZHAO Jing; HU Tianyu; HU Manshi; LIU Minfen; XIE Dingxiang

doi:10.11714/jsysu.med.YX20250138

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Application of Magnetic Resonance Elastography in the Evaluation of Common Intracranial Tumor Stiffness

Clinical Research | 更新时间：2026-01-30

- Application of Magnetic Resonance Elastography in the Evaluation of Common Intracranial Tumor Stiffness
- Journal of Sun Yat-sen University(Medical Sciences) Vol. 47, Issue 1, Pages: 143-151(2026)
- 作者机构：
  
  1.中山大学附属第一医院放射科，广东广州510080
  2.中山大学附属第一医院神经外科，广东广州510080
- 作者简介：
  
  XIE Dingxiang； E-mail： xiedx7@mail.sysu.edu.cn
- 基金信息：
- DOI：10.11714/jsysu.med.YX20250138
  CLC： R445.2
- Received：23 September 2025，
  
  Revised：2025-11-09，
  
  Accepted：16 December 2025，
  
  Published：20 January 2026
- 稿件说明：
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林京怡,赵静,胡天宇等.磁共振弹性成像在常见颅内肿瘤质地评估中的应用[J].中山大学学报（医学科学版）,2026,47(01):143-151.

LIN Jingyi,ZHAO Jing,HU Tianyu,et al.Application of Magnetic Resonance Elastography in the Evaluation of Common Intracranial Tumor Stiffness[J].Journal of Sun Yat-sen University(Medical Sciences),2026,47(01):143-151.
林京怡,赵静,胡天宇等.磁共振弹性成像在常见颅内肿瘤质地评估中的应用[J].中山大学学报（医学科学版）,2026,47(01):143-151. DOI： 10.11714/jsysu.med.YX20250138.

LIN Jingyi,ZHAO Jing,HU Tianyu,et al.Application of Magnetic Resonance Elastography in the Evaluation of Common Intracranial Tumor Stiffness[J].Journal of Sun Yat-sen University(Medical Sciences),2026,47(01):143-151. DOI： 10.11714/jsysu.med.YX20250138.

摘要

目的

探讨磁共振弹性成像（MRE）在评估常见颅内肿瘤质地方面的临床应用价值。

方法

回顾性收集2023年4月至2024年9月于中山大学附属第一医院接受手术治疗的47例脑肿瘤患者，包括胶质瘤10例、前庭神经鞘瘤12例和脑膜瘤25例。所有患者术前均接受多参数MRI和MRE检查。将弹性图与增强3DT1图像配准后，分别于肿瘤硬度最大及最小区域各放置3个ROI测量弹性值，取其均值作为平均弹性值；同时在基底节层面侧脑室后角区域的脑白质和脑灰质内各置一个ROI，获取正常参考值。由一名对MRE结果单盲的神经外科医师根据手术录像按5分法（1分：柔软，5分：坚硬）对肿瘤术中硬度进行分级。采用组内相关系数（ICC）评估观察者一致性，采用方差分析及非参数检验比较组间弹性值差异，运用Spearman相关分析弹性值与临床病理参数的相关性，并通过受试者工作特征（ROC）曲线评估弹性值对肿瘤类型的鉴别效能。

结果

两名医师在肿瘤最硬区域和最软区域所测弹性值的ICC分别为0.868和0.831（均

＜0.01）。脑膜瘤的最大弹性值、最小弹性值及平均弹性值分别为：（1.91±0.28）m/s、（1.66±0.25）m/s、（1.78±0.26）m/s，均显著高于胶质瘤，分别为：（1.59±0.23）m/s、（1.42±0.23）m/s、（1.50±0.22）m/s，（

＜0.05）；前庭神经鞘瘤的各弹性值分别为：（1.70±0.30）m/s、（1.51±0.23）m/s、（1.61±0.26）m/s，均低于脑膜瘤而高于胶质瘤，但差异均无统计学意义（均

＞0.05）。脑白质弹性值（1.63±0.08）m/s高于脑灰质（1.39±0.12）m/s，差异具有统计学意义（

＜0.05）。整体样本中，最大、最小及平均弹性值均与术中硬度分级呈显著正相关（分别为：

=0.591，

=0.541，

=0.571，均

＜0.001），与WHO分级呈负相关（分别为：

=-0.458，

=-0.480，均

＜0.01），与Ki-67均无相关性（均

＞0.05）。

结论

MRE可用于评估颅内肿瘤质地，并在一定程度区分肿瘤类型，有助于术前制订更个体化的手术方案。

Abstract

Objective

To explore the clinical potential of magnetic resonance elastography （MRE） for assessing the stiffness of common intracranial tumors.

Methods

A retrospective analysis was conducted on 47 patients with brain tumors who underwent surgical treatment at The First Affiliated Hospital of Sun Yat-sen University between April 2023 and September 2024. The cohort included 10 cases of glioma， 12 cases of vestibular schwannoma， and 25 cases of meningioma. All patients underwent multiparameter MRI and MRE preoperatively. After co-registering MRE images with contrast-enhanced 3D T1-weighted images， three regions of interest （ROIs） were placed in the areas of maximum and minimum tumor stiffness respectively to measure the shear stiffness values， and the mean was calculated as the average shear stiffness. Additionally， one ROI was placed in the white matter and one in the grey matter of the posterior horn of the lateral ventricle at the basal ganglia level to obtain normal reference values. A neurosurgeon， blind to the MRE results， graded the intraoperative tumor stiffness based on surgical videos using a 5-point scale （1： soft； 5： hard）. Intraclass correlation coefficient （ICC） was used to assess inter-observer consistency. Analysis of variance （ANOVA） and nonparametric tests were employed to compare the differences of shear stiffness values between groups. Spearman correlation analysis was used to examine the correlation between elasticity values and clinicopathological parameters. The discriminatory efficacy of shear stiffness values for tumor types was evaluated with receiver operating characteristic （ROC） curves.

Results

The ICCs for elasticity values measured by two physicians in the hardest and softest tumor areas were 0.868 and 0.831， respectively （both

＜ 0.01）. The maximum， minimum， and average shear stiffness values of meningiomas［（1.91±0.28） m/s，（1.66±0.25） m/s，（1.78±0.26） m/s， respectively］ were significantly higher than those of gliomas［（1.59±0.23） m/s，（1.42±0.23） m/s，（1.50±0.22） m/s， respectively （

＜0.05）］. The shear stiffness values of vestibular schwannomas［（1.70±0.30） m/s，（1.51±0.23） m/s，（1.61±0.26） m/s， respectively） were lower than those of meningiomas and higher than those of gliomas， but these differences were not statistically significant （both

＞0.05）. The shear stiffness values of white matter were significantly hig

her than that of grey matter［（1.63±0.08） m/s

vs.

（1.39±0.12） m/s，

＜0.05）］. In the overall sample， the maximum， minimum， and average shear stiffness values were significantly positively correlated with the intraoperative hardness grade （

= 0.591，

= 0.541，

= 0.571， respectively； all

P＜

0.001）， negatively correlated with WHO grade （

= -0.458，

= -0.480， respectively； all

＜0.01）， but showed no correlation with Ki-67 （all

＞0.05）.

Conclusion

MRE can be used to assess the stiffness of intracranial tumors and to some extent differentiate between tumor types， which aids in formulating more individualized preoperative surgical plans.

关键词

Keywords

references

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